MPG Pandas Profiling Report

Dataset statistics

Number of variables	15
Number of observations	35952
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	16.8 MiB
Average record size in memory	488.9 B

Variable types

Categorical	6
Numeric	9

Alerts

`Make` has a high cardinality: 127 distinct values	High cardinality
`Model` has a high cardinality: 3608 distinct values	High cardinality
`Engine Displacement` is highly correlated with `Cylinders` and 8 other fields	High correlation
`Cylinders` is highly correlated with `Engine Displacement` and 8 other fields	High correlation
`Fuel Barrels/Year` is highly correlated with `Engine Displacement` and 9 other fields	High correlation
`City MPG` is highly correlated with `Engine Displacement` and 8 other fields	High correlation
`Highway MPG` is highly correlated with `Engine Displacement` and 8 other fields	High correlation
`Combined MPG` is highly correlated with `Engine Displacement` and 8 other fields	High correlation
`CO2 Emission Grams/Mile` is highly correlated with `Engine Displacement` and 9 other fields	High correlation
`Fuel Cost/Year` is highly correlated with `Engine Displacement` and 7 other fields	High correlation
`Year` is highly correlated with `Transmission` and 1 other fields	High correlation
`Transmission` is highly correlated with `Year` and 10 other fields	High correlation
`Drivetrain` is highly correlated with `Transmission` and 1 other fields	High correlation
`Vehicle Class` is highly correlated with `Year` and 10 other fields	High correlation
`Fuel Type` is highly correlated with `Transmission` and 2 other fields	High correlation

Reproduction

Analysis started	2022-11-01 08:31:12.219039
Analysis finished	2022-11-01 08:31:21.764970
Duration	9.55 seconds
Software version	pandas-profiling v3.4.0
Download configuration	config.json

Make
Categorical

HIGH CARDINALITY

Distinct	127
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	2.2 MiB

Chevrolet	3643
Ford	2946
Dodge	2360
GMC	2347
Toyota	1836
Other values (122)	22820

Length

Max length	34
Median length	27
Mean length	6.321289497
Min length	3

Characters and Unicode

Total characters	227263
Distinct characters	52
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	24 ?
Unique (%)	0.1%

Sample

1st row	AM General
2nd row	AM General
3rd row	AM General
4th row	AM General
5th row	ASC Incorporated

Common Values

Value	Count	Frequency (%)
Chevrolet	3643	10.1%
Ford	2946	8.2%
Dodge	2360	6.6%
GMC	2347	6.5%
Toyota	1836	5.1%
BMW	1677	4.7%
Mercedes-Benz	1284	3.6%
Nissan	1253	3.5%
Volkswagen	1047	2.9%
Mitsubishi	950	2.6%
Other values (117)	16609	46.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
chevrolet	3643	9.9%
ford	2946	8.0%
dodge	2360	6.4%
gmc	2349	6.4%
toyota	1836	5.0%
bmw	1680	4.6%
mercedes-benz	1284	3.5%
nissan	1253	3.4%
volkswagen	1047	2.9%
mitsubishi	950	2.6%
Other values (167)	17322	47.2%

Most occurring characters

Value	Count	Frequency (%)
e	22251	9.8%
o	20505	9.0%
r	14426	6.3%
a	14328	6.3%
i	11206	4.9%
d	10984	4.8%
s	10114	4.5%
l	9391	4.1%
t	9333	4.1%
u	9103	4.0%
Other values (42)	95622	42.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	177779	78.2%
Uppercase Letter	47223	20.8%
Dash Punctuation	1447	0.6%
Space Separator	719	0.3%
Other Punctuation	95	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	22251	12.5%
o	20505	11.5%
r	14426	8.1%
a	14328	8.1%
i	11206	6.3%
d	10984	6.2%
s	10114	5.7%
l	9391	5.3%
t	9333	5.2%
u	9103	5.1%
Other values (14)	46138	26.0%

Uppercase Letter

Value	Count	Frequency (%)
M	8417	17.8%
C	7240	15.3%
B	3639	7.7%
F	3213	6.8%
G	2521	5.3%
D	2458	5.2%
P	2259	4.8%
S	2126	4.5%
T	1868	4.0%
V	1781	3.8%
Other values (14)	11701	24.8%

Other Punctuation

Value	Count	Frequency (%)
.	85	89.5%
,	10	10.5%

Dash Punctuation

Value	Count	Frequency (%)
-	1447	100.0%

Space Separator

Value	Count	Frequency (%)
	719	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	225002	99.0%
Common	2261	1.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	22251	9.9%
o	20505	9.1%
r	14426	6.4%
a	14328	6.4%
i	11206	5.0%
d	10984	4.9%
s	10114	4.5%
l	9391	4.2%
t	9333	4.1%
u	9103	4.0%
Other values (38)	93361	41.5%

Common

Value	Count	Frequency (%)
-	1447	64.0%
	719	31.8%
.	85	3.8%
,	10	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	227263	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	22251	9.8%
o	20505	9.0%
r	14426	6.3%
a	14328	6.3%
i	11206	4.9%
d	10984	4.8%
s	10114	4.5%
l	9391	4.1%
t	9333	4.1%
u	9103	4.0%
Other values (42)	95622	42.1%

Model
Categorical

HIGH CARDINALITY

Distinct	3608
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

F150 Pickup 2WD	197
F150 Pickup 4WD	179
Truck 2WD	173
Mustang	170
Jetta	169
Other values (3603)	35064

Length

Max length	47
Median length	34
Mean length	11.33708834
Min length	1

Characters and Unicode

Total characters	407591
Distinct characters	69
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	631 ?
Unique (%)	1.8%

Sample

1st row	DJ Po Vehicle 2WD
2nd row	FJ8c Post Office
3rd row	Post Office DJ5 2WD
4th row	Post Office DJ8 2WD
5th row	GNX

Common Values

Value	Count	Frequency (%)
F150 Pickup 2WD	197	0.5%
F150 Pickup 4WD	179	0.5%
Truck 2WD	173	0.5%
Mustang	170	0.5%
Jetta	169	0.5%
Ranger Pickup 2WD	161	0.4%
Sierra 1500 4WD	149	0.4%
Sierra 1500 2WD	146	0.4%
Camaro	146	0.4%
Civic	139	0.4%
Other values (3598)	34323	95.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2wd	6921	9.3%
4wd	4913	6.6%
pickup	3011	4.1%
awd	1929	2.6%
wagon	1908	2.6%
1500	1159	1.6%
fwd	1029	1.4%
convertible	970	1.3%
van	666	0.9%
coupe	665	0.9%
Other values (1814)	51018	68.8%

Most occurring characters

Value	Count	Frequency (%)
	38290	9.4%
a	26703	6.6%
r	23857	5.9%
e	21668	5.3%
o	18715	4.6%
W	17524	4.3%
D	16715	4.1%
i	16534	4.1%
n	15592	3.8%
0	14424	3.5%
Other values (59)	197569	48.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	212103	52.0%
Uppercase Letter	96298	23.6%
Decimal Number	55267	13.6%
Space Separator	38290	9.4%
Other Punctuation	2877	0.7%
Dash Punctuation	1088	0.3%
Open Punctuation	831	0.2%
Close Punctuation	831	0.2%
Math Symbol	6	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	26703	12.6%
r	23857	11.2%
e	21668	10.2%
o	18715	8.8%
i	16534	7.8%
n	15592	7.4%
t	11821	5.6%
u	10125	4.8%
c	8634	4.1%
l	8008	3.8%
Other values (16)	50446	23.8%

Uppercase Letter

Value	Count	Frequency (%)
W	17524	18.2%
D	16715	17.4%
C	10067	10.5%
S	8602	8.9%
P	4618	4.8%
A	4610	4.8%
T	4160	4.3%
F	3833	4.0%
V	2978	3.1%
E	2956	3.1%
Other values (16)	20235	21.0%

Decimal Number

Value	Count	Frequency (%)
0	14424	26.1%
2	10697	19.4%
5	8506	15.4%
4	7624	13.8%
1	5908	10.7%
3	3573	6.5%
6	1590	2.9%
9	1131	2.0%
8	954	1.7%
7	860	1.6%

Other Punctuation

Value	Count	Frequency (%)
/	2639	91.7%
.	238	8.3%

Space Separator

Value	Count	Frequency (%)
	38290	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1088	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	831	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	831	100.0%

Math Symbol

Value	Count	Frequency (%)
>	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	308401	75.7%
Common	99190	24.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	26703	8.7%
r	23857	7.7%
e	21668	7.0%
o	18715	6.1%
W	17524	5.7%
D	16715	5.4%
i	16534	5.4%
n	15592	5.1%
t	11821	3.8%
u	10125	3.3%
Other values (42)	129147	41.9%

Common

Value	Count	Frequency (%)
	38290	38.6%
0	14424	14.5%
2	10697	10.8%
5	8506	8.6%
4	7624	7.7%
1	5908	6.0%
3	3573	3.6%
/	2639	2.7%
6	1590	1.6%
9	1131	1.1%
Other values (7)	4808	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	407591	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	38290	9.4%
a	26703	6.6%
r	23857	5.9%
e	21668	5.3%
o	18715	4.6%
W	17524	4.3%
D	16715	4.1%
i	16534	4.1%
n	15592	3.8%
0	14424	3.5%
Other values (59)	197569	48.5%

Year
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	34
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2000.7164

Minimum	1984
Maximum	2017
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	281.0 KiB

Quantile statistics

Minimum	1984
5-th percentile	1985
Q1	1991
median	2001
Q3	2010
95-th percentile	2016
Maximum	2017
Range	33
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	10.08528955
Coefficient of variation (CV)	0.005040839147
Kurtosis	-1.309415619
Mean	2000.7164
Median Absolute Deviation (MAD)	9
Skewness	-0.05659508101
Sum	71929756
Variance	101.7130653
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
1985	1581	4.4%
2015	1264	3.5%
2016	1228	3.4%
2014	1211	3.4%
1987	1198	3.3%
1986	1188	3.3%
2008	1184	3.3%
2009	1183	3.3%
2013	1168	3.2%
2005	1156	3.2%
Other values (24)	23591	65.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1984	645	1.8%
1985	1581	4.4%
1986	1188	3.3%
1987	1198	3.3%
1988	1119	3.1%
1989	1127	3.1%
1990	1068	3.0%
1991	1122	3.1%
1992	1107	3.1%
1993	1077	3.0%

Value	Count	Frequency (%)
2017	857	2.4%
2016	1228	3.4%
2015	1264	3.5%
2014	1211	3.4%
2013	1168	3.2%
2012	1139	3.2%
2011	1124	3.1%
2010	1108	3.1%
2009	1183	3.3%
2008	1184	3.3%

Engine Displacement
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	65
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.338492991

Minimum	0.6
Maximum	8.4
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	281.0 KiB

Quantile statistics

Minimum	0.6
5-th percentile	1.6
Q1	2.2
median	3
Q3	4.3
95-th percentile	5.9
Maximum	8.4
Range	7.8
Interquartile range (IQR)	2.1

Descriptive statistics

Standard deviation	1.359395386
Coefficient of variation (CV)	0.4071883302
Kurtosis	-0.5744958571
Mean	3.338492991
Median Absolute Deviation (MAD)	1
Skewness	0.6053760668
Sum	120025.5
Variance	1.847955816
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	3342	9.3%
3	2869	8.0%
2.5	2286	6.4%
2.4	1877	5.2%
3.5	1452	4.0%
1.8	1439	4.0%
1.6	1343	3.7%
5	1329	3.7%
4.3	1319	3.7%
2.2	1237	3.4%
Other values (55)	17459	48.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.6	3	< 0.1%
0.9	4	< 0.1%
1	162	0.5%
1.1	8	< 0.1%
1.2	38	0.1%
1.3	178	0.5%
1.4	188	0.5%
1.5	667	1.9%
1.6	1343	3.7%
1.7	46	0.1%

Value	Count	Frequency (%)
8.4	11	< 0.1%
8.3	9	< 0.1%
8	23	0.1%
7.4	4	< 0.1%
7	10	< 0.1%
6.8	126	0.4%
6.7	69	0.2%
6.6	20	0.1%
6.5	111	0.3%
6.4	31	0.1%

Cylinders
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.765075656

Minimum	2
Maximum	16
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	281.0 KiB

Quantile statistics

Minimum	2
5-th percentile	4
Q1	4
median	6
Q3	6
95-th percentile	8
Maximum	16
Range	14
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.755268232
Coefficient of variation (CV)	0.3044657757
Kurtosis	0.9226341968
Mean	5.765075656
Median Absolute Deviation (MAD)	2
Skewness	0.8462732618
Sum	207266
Variance	3.080966565
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
4	13494	37.5%
6	12765	35.5%
8	7998	22.2%
5	723	2.0%
12	562	1.6%
3	201	0.6%
10	153	0.4%
2	48	0.1%
16	8	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	48	0.1%
3	201	0.6%
4	13494	37.5%
5	723	2.0%
6	12765	35.5%
8	7998	22.2%
10	153	0.4%
12	562	1.6%
16	8	< 0.1%

Value	Count	Frequency (%)
16	8	< 0.1%
12	562	1.6%
10	153	0.4%
8	7998	22.2%
6	12765	35.5%
5	723	2.0%
4	13494	37.5%
3	201	0.6%
2	48	0.1%

Transmission
Categorical

HIGH CORRELATION

Distinct	45
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.4 MiB

Automatic 4-spd	10585
Manual 5-spd	7787
Automatic (S6)	2631
Automatic 3-spd	2597
Manual 6-spd	2423
Other values (40)	9929

Length

Max length	32
Median length	17
Mean length	14.09454272
Min length	8

Characters and Unicode

Total characters	506727
Distinct characters	34
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	< 0.1%

Sample

1st row	Automatic 3-spd
2nd row	Automatic 3-spd
3rd row	Automatic 3-spd
4th row	Automatic 3-spd
5th row	Automatic 4-spd

Common Values

Value	Count	Frequency (%)
Automatic 4-spd	10585	29.4%
Manual 5-spd	7787	21.7%
Automatic (S6)	2631	7.3%
Automatic 3-spd	2597	7.2%
Manual 6-spd	2423	6.7%
Automatic 5-spd	2171	6.0%
Automatic 6-spd	1432	4.0%
Manual 4-spd	1306	3.6%
Automatic (S8)	960	2.7%
Automatic (S5)	822	2.3%
Other values (35)	3238	9.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
automatic	23408	32.3%
4-spd	11891	16.4%
manual	11659	16.1%
5-spd	9958	13.8%
6-spd	3855	5.3%
3-spd	2671	3.7%
s6	2631	3.6%
s8	960	1.3%
s5	822	1.1%
7-spd	730	1.0%
Other values (34)	3789	5.2%

Most occurring characters

Value	Count	Frequency (%)
a	49432	9.8%
t	48373	9.5%
	36422	7.2%
u	35952	7.1%
s	30115	5.9%
-	30038	5.9%
d	29440	5.8%
p	29440	5.8%
A	25191	5.0%
o	24965	4.9%
Other values (24)	167359	33.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	348690	68.8%
Uppercase Letter	43282	8.5%
Space Separator	36422	7.2%
Decimal Number	35271	7.0%
Dash Punctuation	30038	5.9%
Open Punctuation	6512	1.3%
Close Punctuation	6512	1.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	49432	14.2%
t	48373	13.9%
u	35952	10.3%
s	30115	8.6%
d	29440	8.4%
p	29440	8.4%
o	24965	7.2%
i	24758	7.1%
c	23408	6.7%
m	23408	6.7%
Other values (7)	29399	8.4%

Decimal Number

Value	Count	Frequency (%)
4	12122	34.4%
5	10795	30.6%
6	6849	19.4%
3	2673	7.6%
7	1470	4.2%
8	1241	3.5%
9	117	0.3%
1	4	< 0.1%

Uppercase Letter

Value	Count	Frequency (%)
A	25191	58.2%
M	12307	28.4%
S	5529	12.8%
V	251	0.6%
L	4	< 0.1%

Space Separator

Value	Count	Frequency (%)
	36422	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	30038	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	6512	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	6512	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	391972	77.4%
Common	114755	22.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	49432	12.6%
t	48373	12.3%
u	35952	9.2%
s	30115	7.7%
d	29440	7.5%
p	29440	7.5%
A	25191	6.4%
o	24965	6.4%
i	24758	6.3%
c	23408	6.0%
Other values (12)	70898	18.1%

Common

Value	Count	Frequency (%)
	36422	31.7%
-	30038	26.2%
4	12122	10.6%
5	10795	9.4%
6	6849	6.0%
(	6512	5.7%
)	6512	5.7%
3	2673	2.3%
7	1470	1.3%
8	1241	1.1%
Other values (2)	121	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	506727	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	49432	9.8%
t	48373	9.5%
	36422	7.2%
u	35952	7.1%
s	30115	5.9%
-	30038	5.9%
d	29440	5.8%
p	29440	5.8%
A	25191	5.0%
o	24965	4.9%
Other values (24)	167359	33.0%

Drivetrain
Categorical

HIGH CORRELATION

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

Front-Wheel Drive	13044
Rear-Wheel Drive	12726
4-Wheel or All-Wheel Drive	6503
All-Wheel Drive	2039
4-Wheel Drive	1058
Other values (3)	582

Length

Max length	26
Median length	23
Mean length	18.02219626
Min length	13

Characters and Unicode

Total characters	647934
Distinct characters	22
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	2-Wheel Drive
2nd row	2-Wheel Drive
3rd row	Rear-Wheel Drive
4th row	Rear-Wheel Drive
5th row	Rear-Wheel Drive

Common Values

Value	Count	Frequency (%)
Front-Wheel Drive	13044	36.3%
Rear-Wheel Drive	12726	35.4%
4-Wheel or All-Wheel Drive	6503	18.1%
All-Wheel Drive	2039	5.7%
4-Wheel Drive	1058	2.9%
2-Wheel Drive	423	1.2%
Part-time 4-Wheel Drive	158	0.4%
2-Wheel Drive, Front	1	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
drive	35952	42.3%
front-wheel	13044	15.3%
rear-wheel	12726	15.0%
all-wheel	8542	10.0%
4-wheel	7719	9.1%
or	6503	7.6%
2-wheel	424	0.5%
part-time	158	0.2%
front	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	133746	20.6%
r	68384	10.6%
l	59539	9.2%
	49117	7.6%
-	42613	6.6%
W	42455	6.6%
h	42455	6.6%
i	36110	5.6%
D	35952	5.5%
v	35952	5.5%
Other values (12)	101611	15.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	435182	67.2%
Uppercase Letter	112878	17.4%
Space Separator	49117	7.6%
Dash Punctuation	42613	6.6%
Decimal Number	8143	1.3%
Other Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	133746	30.7%
r	68384	15.7%
l	59539	13.7%
h	42455	9.8%
i	36110	8.3%
v	35952	8.3%
o	19548	4.5%
t	13361	3.1%
n	13045	3.0%
a	12884	3.0%

Uppercase Letter

Value	Count	Frequency (%)
W	42455	37.6%
D	35952	31.9%
F	13045	11.6%
R	12726	11.3%
A	8542	7.6%
P	158	0.1%

Decimal Number

Value	Count	Frequency (%)
4	7719	94.8%
2	424	5.2%

Space Separator

Value	Count	Frequency (%)
	49117	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	42613	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	548060	84.6%
Common	99874	15.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	133746	24.4%
r	68384	12.5%
l	59539	10.9%
W	42455	7.7%
h	42455	7.7%
i	36110	6.6%
D	35952	6.6%
v	35952	6.6%
o	19548	3.6%
t	13361	2.4%
Other values (7)	60558	11.0%

Common

Value	Count	Frequency (%)
	49117	49.2%
-	42613	42.7%
4	7719	7.7%
2	424	0.4%
,	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	647934	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	133746	20.6%
r	68384	10.6%
l	59539	9.2%
	49117	7.6%
-	42613	6.6%
W	42455	6.6%
h	42455	6.6%
i	36110	5.6%
D	35952	5.5%
v	35952	5.5%
Other values (12)	101611	15.7%

Vehicle Class
Categorical

HIGH CORRELATION

Distinct	34
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

Compact Cars	5185
Subcompact Cars	4374
Midsize Cars	4063
Standard Pickup Trucks	2311
Sport Utility Vehicle - 4WD	2081
Other values (29)	17938

Length

Max length	34
Median length	28
Mean length	17.86056409
Min length	4

Characters and Unicode

Total characters	642123
Distinct characters	38
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Special Purpose Vehicle 2WD
2nd row	Special Purpose Vehicle 2WD
3rd row	Special Purpose Vehicle 2WD
4th row	Special Purpose Vehicle 2WD
5th row	Midsize Cars

Common Values

Value	Count	Frequency (%)
Compact Cars	5185	14.4%
Subcompact Cars	4374	12.2%
Midsize Cars	4063	11.3%
Standard Pickup Trucks	2311	6.4%
Sport Utility Vehicle - 4WD	2081	5.8%
Two Seaters	1784	5.0%
Large Cars	1742	4.8%
Sport Utility Vehicle - 2WD	1615	4.5%
Special Purpose Vehicles	1404	3.9%
Small Station Wagons	1371	3.8%
Other values (24)	10022	27.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
cars	16576	16.4%
vehicle	5990	5.9%
pickup	5540	5.5%
trucks	5536	5.5%
compact	5185	5.1%
sport	5152	5.1%
utility	5152	5.1%
standard	5003	4.9%
2wd	4622	4.6%
midsize	4479	4.4%
Other values (22)	37859	37.4%

Most occurring characters

Value	Count	Frequency (%)
	65142	10.1%
a	54931	8.6%
i	41312	6.4%
r	39411	6.1%
t	37854	5.9%
s	37548	5.8%
c	37081	5.8%
e	31682	4.9%
p	26688	4.2%
o	25225	3.9%
Other values (28)	245249	38.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	455736	71.0%
Uppercase Letter	106721	16.6%
Space Separator	65142	10.1%
Decimal Number	9076	1.4%
Dash Punctuation	4707	0.7%
Other Punctuation	741	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	54931	12.1%
i	41312	9.1%
r	39411	8.6%
t	37854	8.3%
s	37548	8.2%
c	37081	8.1%
e	31682	7.0%
p	26688	5.9%
o	25225	5.5%
l	21524	4.7%
Other values (12)	102480	22.5%

Uppercase Letter

Value	Count	Frequency (%)
S	24343	22.8%
C	22193	20.8%
W	11488	10.8%
V	9254	8.7%
D	9068	8.5%
P	8089	7.6%
T	8057	7.5%
M	6702	6.3%
U	5152	4.8%
L	2375	2.2%

Decimal Number

Value	Count	Frequency (%)
2	4628	51.0%
4	4448	49.0%

Other Punctuation

Value	Count	Frequency (%)
,	733	98.9%
/	8	1.1%

Space Separator

Value	Count	Frequency (%)
	65142	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	4707	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	562457	87.6%
Common	79666	12.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	54931	9.8%
i	41312	7.3%
r	39411	7.0%
t	37854	6.7%
s	37548	6.7%
c	37081	6.6%
e	31682	5.6%
p	26688	4.7%
o	25225	4.5%
S	24343	4.3%
Other values (22)	206382	36.7%

Common

Value	Count	Frequency (%)
	65142	81.8%
-	4707	5.9%
2	4628	5.8%
4	4448	5.6%
,	733	0.9%
/	8	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	642123	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	65142	10.1%
a	54931	8.6%
i	41312	6.4%
r	39411	6.1%
t	37854	5.9%
s	37548	5.8%
c	37081	5.8%
e	31682	4.9%
p	26688	4.2%
o	25225	3.9%
Other values (28)	245249	38.2%

Fuel Type
Categorical

HIGH CORRELATION

Distinct	13
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 MiB

Regular	23587
Premium	9921
Gasoline or E85	1195
Diesel	911
Premium or E85	121
Other values (8)	217

Length

Max length	27
Median length	7
Mean length	7.298926346
Min length	3

Characters and Unicode

Total characters	262411
Distinct characters	27
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Regular
2nd row	Regular
3rd row	Regular
4th row	Regular
5th row	Premium

Common Values

Value	Count	Frequency (%)
Regular	23587	65.6%
Premium	9921	27.6%
Gasoline or E85	1195	3.3%
Diesel	911	2.5%
Premium or E85	121	0.3%
Midgrade	74	0.2%
CNG	60	0.2%
Premium and Electricity	20	0.1%
Gasoline or natural gas	20	0.1%
Premium Gas or Electricity	17	< 0.1%
Other values (3)	26	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
regular	23605	60.8%
premium	10079	26.0%
or	1363	3.5%
e85	1316	3.4%
gasoline	1223	3.2%
diesel	911	2.3%
midgrade	74	0.2%
cng	60	0.2%
electricity	55	0.1%
gas	55	0.1%
Other values (3)	64	0.2%

Most occurring characters

Value	Count	Frequency (%)
e	36866	14.0%
r	35204	13.4%
u	33704	12.8%
l	25814	9.8%
a	25041	9.5%
g	23699	9.0%
R	23605	9.0%
m	20158	7.7%
i	12397	4.7%
P	10079	3.8%
Other values (17)	15844	6.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	219448	83.6%
Uppercase Letter	37478	14.3%
Space Separator	2853	1.1%
Decimal Number	2632	1.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	36866	16.8%
r	35204	16.0%
u	33704	15.4%
l	25814	11.8%
a	25041	11.4%
g	23699	10.8%
m	20158	9.2%
i	12397	5.6%
o	2594	1.2%
s	2189	1.0%
Other values (6)	1782	0.8%

Uppercase Letter

Value	Count	Frequency (%)
R	23605	63.0%
P	10079	26.9%
E	1371	3.7%
G	1318	3.5%
D	911	2.4%
M	74	0.2%
C	60	0.2%
N	60	0.2%

Decimal Number

Value	Count	Frequency (%)
5	1316	50.0%
8	1316	50.0%

Space Separator

Value	Count	Frequency (%)
	2853	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	256926	97.9%
Common	5485	2.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	36866	14.3%
r	35204	13.7%
u	33704	13.1%
l	25814	10.0%
a	25041	9.7%
g	23699	9.2%
R	23605	9.2%
m	20158	7.8%
i	12397	4.8%
P	10079	3.9%
Other values (14)	10359	4.0%

Common

Value	Count	Frequency (%)
	2853	52.0%
5	1316	24.0%
8	1316	24.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	262411	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	36866	14.0%
r	35204	13.4%
u	33704	12.8%
l	25814	9.8%
a	25041	9.5%
g	23699	9.0%
R	23605	9.0%
m	20158	7.7%
i	12397	4.7%
P	10079	3.8%
Other values (17)	15844	6.0%

Fuel Barrels/Year
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	123
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.6090555

Minimum	0.06
Maximum	47.08714286
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	281.0 KiB

Quantile statistics

Minimum	0.06
5-th percentile	11.36586207
Q1	14.69942308
median	17.34789474
Q3	20.600625
95-th percentile	25.35461538
Maximum	47.08714286
Range	47.02714286
Interquartile range (IQR)	5.901201923

Descriptive statistics

Standard deviation	4.467282686
Coefficient of variation (CV)	0.2536923508
Kurtosis	1.468284879
Mean	17.6090555
Median Absolute Deviation (MAD)	3.017025172
Skewness	0.6382712089
Sum	633080.7634
Variance	19.9566146
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18.31166667	3492	9.7%
17.34789474	3203	8.9%
15.69571429	3120	8.7%
16.4805	3061	8.5%
19.38882353	2277	6.3%
20.600625	2226	6.2%
14.98227273	2213	6.2%
21.974	2210	6.1%
23.54357143	1940	5.4%
14.33086957	1762	4.9%
Other values (113)	10448	29.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.06	4	< 0.1%
0.06642857143	11	< 0.1%
0.06888888889	3	< 0.1%
0.08086956522	1	< 0.1%
0.08454545455	2	< 0.1%
0.1033333333	2	< 0.1%
0.1094117647	3	< 0.1%
0.11625	3	< 0.1%
0.124	1	< 0.1%
0.1328571429	2	< 0.1%

Value	Count	Frequency (%)
47.08714286	5	< 0.1%
41.20125	21	0.1%
36.62333333	36	0.1%
32.961	130	0.4%
29.96454545	439	1.2%
27.4675	730	2.0%
27.29892857	5	< 0.1%
25.479	30	0.1%
25.35461538	1245	3.5%
23.8865625	86	0.2%

City MPG
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	48
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.6461393

Minimum	6
Maximum	58
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	281.0 KiB

Quantile statistics

Minimum	6
5-th percentile	11
Q1	15
median	17
Q3	20
95-th percentile	26
Maximum	58
Range	52
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	4.769348814
Coefficient of variation (CV)	0.2702771826
Kurtosis	5.087694024
Mean	17.6461393
Median Absolute Deviation (MAD)	3
Skewness	1.468995384
Sum	634414
Variance	22.74668811
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
15	4158	11.6%
17	3690	10.3%
16	3577	9.9%
18	3547	9.9%
14	2760	7.7%
19	2629	7.3%
21	1993	5.5%
13	1959	5.4%
20	1905	5.3%
12	1512	4.2%
Other values (38)	8222	22.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6	5	< 0.1%
7	20	0.1%
8	84	0.2%
9	194	0.5%
10	516	1.4%
11	1422	4.0%
12	1512	4.2%
13	1959	5.4%
14	2760	7.7%
15	4158	11.6%

Value	Count	Frequency (%)
58	2	< 0.1%
54	2	< 0.1%
53	5	< 0.1%
51	10	< 0.1%
50	2	< 0.1%
49	3	< 0.1%
48	12	< 0.1%
47	2	< 0.1%
45	6	< 0.1%
44	16	< 0.1%

Highway MPG
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	49
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.88064642

Minimum	9
Maximum	61
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	281.0 KiB

Quantile statistics

Minimum	9
5-th percentile	15
Q1	20
median	24
Q3	27
95-th percentile	34
Maximum	61
Range	52
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	5.890876356
Coefficient of variation (CV)	0.2466799371
Kurtosis	0.934351372
Mean	23.88064642
Median Absolute Deviation (MAD)	4
Skewness	0.6175942148
Sum	858557
Variance	34.70242424
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=49)

Value	Count	Frequency (%)
24	2953	8.2%
26	2871	8.0%
22	2723	7.6%
23	2545	7.1%
20	2351	6.5%
25	2104	5.9%
17	2098	5.8%
27	1718	4.8%
28	1678	4.7%
19	1668	4.6%
Other values (39)	13243	36.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
9	10	< 0.1%
10	60	0.2%
11	59	0.2%
12	255	0.7%
13	280	0.8%
14	443	1.2%
15	842	2.3%
16	1281	3.6%
17	2098	5.8%
18	1570	4.4%

Value	Count	Frequency (%)
61	1	< 0.1%
60	1	< 0.1%
59	2	< 0.1%
58	3	< 0.1%
53	3	< 0.1%
52	6	< 0.1%
51	4	< 0.1%
50	4	< 0.1%
49	14	< 0.1%
48	11	< 0.1%

Combined MPG
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	46
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	19.92932243

Minimum	7
Maximum	56
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	281.0 KiB

Quantile statistics

Minimum	7
5-th percentile	13
Q1	16
median	19
Q3	23
95-th percentile	29
Maximum	56
Range	49
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	5.112408945
Coefficient of variation (CV)	0.2565269824
Kurtosis	2.722551335
Mean	19.92932243
Median Absolute Deviation (MAD)	3
Skewness	1.067772702
Sum	716499
Variance	26.13672522
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=46)

Value	Count	Frequency (%)
18	3559	9.9%
19	3282	9.1%
21	3158	8.8%
20	3093	8.6%
17	2420	6.7%
16	2315	6.4%
22	2247	6.2%
15	2241	6.2%
14	1947	5.4%
23	1794	5.0%
Other values (36)	9896	27.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
7	5	< 0.1%
8	21	0.1%
9	40	0.1%
10	131	0.4%
11	441	1.2%
12	741	2.1%
13	1255	3.5%
14	1947	5.4%
15	2241	6.2%
16	2315	6.4%

Value	Count	Frequency (%)
56	2	< 0.1%
53	4	< 0.1%
52	5	< 0.1%
50	15	< 0.1%
48	2	< 0.1%
47	16	< 0.1%
46	11	< 0.1%
45	5	< 0.1%
44	5	< 0.1%
43	7	< 0.1%

CO2 Emission Grams/Mile
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	575
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	475.3163393

Minimum	37
Maximum	1269.571429
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	281.0 KiB

Quantile statistics

Minimum	37
5-th percentile	306.4482759
Q1	395
median	467.7368421
Q3	555.4375
95-th percentile	683.6153846
Maximum	1269.571429
Range	1232.571429
Interquartile range (IQR)	160.4375

Descriptive statistics

Standard deviation	119.0607732
Coefficient of variation (CV)	0.2504874405
Kurtosis	1.263582798
Mean	475.3163393
Median Absolute Deviation (MAD)	81.34553776
Skewness	0.7416918392
Sum	17088573.03
Variance	14175.46772
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
493.7222222	3114	8.7%
467.7368421	2763	7.7%
444.35	2697	7.5%
423.1904762	2662	7.4%
592.4666667	2023	5.6%
555.4375	2022	5.6%
522.7647059	2010	5.6%
403.9545455	1819	5.1%
634.7857143	1801	5.0%
386.3913043	1367	3.8%
Other values (565)	13674	38.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
37	1	< 0.1%
40	2	< 0.1%
51	2	< 0.1%
81	3	< 0.1%
84	1	< 0.1%
87	1	< 0.1%
91	3	< 0.1%
101	1	< 0.1%
104	2	< 0.1%
112	1	< 0.1%

Value	Count	Frequency (%)
1269.571429	5	< 0.1%
1110.875	21	0.1%
987.4444444	36	0.1%
888.7	127	0.4%
847	3	< 0.1%
807.9090909	434	1.2%
805	3	< 0.1%
801	1	< 0.1%
790	1	< 0.1%
787.725	4	< 0.1%

Fuel Cost/Year
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	55
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1892.598465

Minimum	600
Maximum	5800
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	281.0 KiB

Quantile statistics

Minimum	600
5-th percentile	1200
Q1	1500
median	1850
Q3	2200
95-th percentile	2800
Maximum	5800
Range	5200
Interquartile range (IQR)	700

Descriptive statistics

Standard deviation	506.9586274
Coefficient of variation (CV)	0.2678638057
Kurtosis	1.74029905
Mean	1892.598465
Median Absolute Deviation (MAD)	350
Skewness	0.8345314918
Sum	68042700
Variance	257007.0499
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1850	2849	7.9%
1950	2818	7.8%
1600	2297	6.4%
1750	2271	6.3%
2400	2086	5.8%
1650	1935	5.4%
2200	1765	4.9%
1500	1706	4.7%
2100	1607	4.5%
2550	1512	4.2%
Other values (45)	15106	42.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
600	2	< 0.1%
650	24	0.1%
700	29	0.1%
750	13	< 0.1%
800	75	0.2%
850	77	0.2%
900	84	0.2%
950	66	0.2%
1000	248	0.7%
1050	420	1.2%

Value	Count	Frequency (%)
5800	5	< 0.1%
5050	4	< 0.1%
4500	6	< 0.1%
4150	17	< 0.1%
4050	53	0.1%
3700	176	0.5%
3400	232	0.6%
3350	81	0.2%
3100	338	0.9%
3050	294	0.8%

Auto

The auto setting is an easily interpretable pairwise column metric of the following mapping: vartype-vartype : method, categorical-categorical : Cramer's V, numerical-categorical : Cramer's V (using a discretized numerical column), numerical-numerical : Spearman's ρ. This configuration uses the best suitable for each pair of columns.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	Make	Model	Year	Engine Displacement	Cylinders	Transmission	Drivetrain	Vehicle Class	Fuel Type	Fuel Barrels/Year	City MPG	Highway MPG	Combined MPG	CO2 Emission Grams/Mile	Fuel Cost/Year
0	AM General	DJ Po Vehicle 2WD	1984	2.5	4.0	Automatic 3-spd	2-Wheel Drive	Special Purpose Vehicle 2WD	Regular	19.388824	18	17	17	522.764706	1950
1	AM General	FJ8c Post Office	1984	4.2	6.0	Automatic 3-spd	2-Wheel Drive	Special Purpose Vehicle 2WD	Regular	25.354615	13	13	13	683.615385	2550
2	AM General	Post Office DJ5 2WD	1985	2.5	4.0	Automatic 3-spd	Rear-Wheel Drive	Special Purpose Vehicle 2WD	Regular	20.600625	16	17	16	555.437500	2100
3	AM General	Post Office DJ8 2WD	1985	4.2	6.0	Automatic 3-spd	Rear-Wheel Drive	Special Purpose Vehicle 2WD	Regular	25.354615	13	13	13	683.615385	2550
4	ASC Incorporated	GNX	1987	3.8	6.0	Automatic 4-spd	Rear-Wheel Drive	Midsize Cars	Premium	20.600625	14	21	16	555.437500	2550
5	Acura	2.2CL/3.0CL	1997	2.2	4.0	Automatic 4-spd	Front-Wheel Drive	Subcompact Cars	Regular	14.982273	20	26	22	403.954545	1500
6	Acura	2.2CL/3.0CL	1997	2.2	4.0	Manual 5-spd	Front-Wheel Drive	Subcompact Cars	Regular	13.733750	22	28	24	370.291667	1400
7	Acura	2.2CL/3.0CL	1997	3.0	6.0	Automatic 4-spd	Front-Wheel Drive	Subcompact Cars	Regular	16.480500	18	26	20	444.350000	1650
8	Acura	2.3CL/3.0CL	1998	2.3	4.0	Automatic 4-spd	Front-Wheel Drive	Subcompact Cars	Regular	14.982273	19	27	22	403.954545	1500
9	Acura	2.3CL/3.0CL	1998	2.3	4.0	Manual 5-spd	Front-Wheel Drive	Subcompact Cars	Regular	13.733750	21	29	24	370.291667	1400

Last rows

	Make	Model	Year	Engine Displacement	Cylinders	Transmission	Drivetrain	Vehicle Class	Fuel Type	Fuel Barrels/Year	City MPG	Highway MPG	Combined MPG	CO2 Emission Grams/Mile	Fuel Cost/Year
35942	smart	fortwo coupe	2008	1.0	3.0	Automatic (S5)	Rear-Wheel Drive	Two Seaters	Premium	9.155833	33	41	36	246.861111	1100
35943	smart	fortwo coupe	2009	1.0	3.0	Automatic (AM5)	Rear-Wheel Drive	Two Seaters	Premium	9.155833	33	41	36	246.861111	1100
35944	smart	fortwo coupe	2010	1.0	3.0	Auto(AM5)	Rear-Wheel Drive	Two Seaters	Premium	9.155833	33	41	36	246.861111	1100
35945	smart	fortwo coupe	2011	1.0	3.0	Auto(AM5)	Rear-Wheel Drive	Two Seaters	Premium	9.155833	33	41	36	246.861111	1100
35946	smart	fortwo coupe	2012	1.0	3.0	Auto(AM5)	Rear-Wheel Drive	Two Seaters	Premium	9.155833	34	38	36	246.861111	1100
35947	smart	fortwo coupe	2013	1.0	3.0	Auto(AM5)	Rear-Wheel Drive	Two Seaters	Premium	9.155833	34	38	36	244.000000	1100
35948	smart	fortwo coupe	2014	1.0	3.0	Auto(AM5)	Rear-Wheel Drive	Two Seaters	Premium	9.155833	34	38	36	243.000000	1100
35949	smart	fortwo coupe	2015	1.0	3.0	Auto(AM5)	Rear-Wheel Drive	Two Seaters	Premium	9.155833	34	38	36	244.000000	1100
35950	smart	fortwo coupe	2016	0.9	3.0	Auto(AM6)	Rear-Wheel Drive	Two Seaters	Premium	9.155833	34	39	36	246.000000	1100
35951	smart	fortwo coupe	2016	0.9	3.0	Manual 5-spd	Rear-Wheel Drive	Two Seaters	Premium	9.417429	32	39	35	255.000000	1150

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Dash Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Open Punctuation

Close Punctuation

Math Symbol

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Space Separator

Dash Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Space Separator

Dash Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length